Evidence map›Paper›PMID 34273970›Full record

ReviewCancer cell international2021

PODN is a prognostic biomarker and correlated with immune infiltrates in osteosarcoma.

Feng Yao, Zhao Feng Zhu, Jun Wen, Fu Yong Zhang, Zheng Zhang, Lun Qing Zhu, Guang Hao Su, Quan Wen Yuan, Yun Fang Zhen, Xiao Dong Wang

Open access · goldAbstract readReview
In one paragraph

Review in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. mBiochemical genetics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Feng YaoDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Zhao Feng ZhuClinical Pediatric School of Soochow University, Su Zhou, 215025, Jiang Su, China.
Jun WenClinical Pediatric School of Soochow University, Su Zhou, 215025, Jiang Su, China.
Fu Yong ZhangDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Zheng ZhangDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Lun Qing ZhuDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Guang Hao SuDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Quan Wen YuanDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Yun Fang ZhenDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China.
Xiao Dong WangDepartment of Orthopedics, Children's Hospital of Soochow University, Su Zhou, 215025, Jiang Su, China. orthowxd@163.com.ORCID http://orcid.org/0000-0003-3377-921X
Soochow University · CN

Funding

Key Project of Jiangsu Provincial Commission of Health and Family Planning K2019005Suzhou Municipal Science and Technology Bureau SLT201935
6 · The paper itself

Abstract

backgroundOsteosarcoma was the most common primary bone malignancy in children and adolescents. It was imperative to identify effective prognostic biomarkers for this cancer. This study was aimed to identify potential crucial genes of osteosarcoma by integrated bioinformatics analysis.

methodsIdentification of differentially expressed genes from public data gene expression profiles (GSE42352), functional and pathway enrichment analysis, protein-protein interaction (PPI) network construction and module analysis, Cox regression and survival analysis was conducted.

resultsTotally 17 co-differential genes were found to be differentially expressed. These genes were enriched in biological processes, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) pathway of inflammatory immune response. PPI network was constructed with 63 differentially expressed genes that co-existed between the test set and the validation set. The area under the receiver operating characteristic curve (AUC value) was 0.855, which indicated that the expression of PODN had a good diagnostic value for osteosarcoma. Furthermore, Cox regression and survival analysis revealed 5 genes were statistically significant.

conclusionsPODN was regarded as a potential biomarker for the diagnosis and prognosis of osteosarcoma, ACTA2, COL6A1, FAP, OLFML2B and COL6A3, can be used as potential prognostic indicators for osteosarcoma.

Indexed as

BiomarkerDiagnosisImmune infiltratesOsteosarcomaPODNPrognosis

Identifiers

PMID34273970
PMCPMC8285818
OpenAlexW3184410939

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.